Abstract
The paper focuses on the design of an intelligent interface that compensates for the incapacity of a person with Parkinson’s disease to drive a wheelchair. The fractional order model that defines a person with Parkinson’s disease is investigated. An identification technique based on the analysis of the frequency behavior of the movement of a wheelchair driven by a with Parkinson’s disease person on the test trajectory is proposed and a delay time crossover model with fractional order exponent β=1.5 is inferred. The fractional dynamic model of the “disabled man-wheelchair” system is discussed and a control system is proposed to compensate for the inability of the wheelchair driver. The conditions that ensure the stability of the closed loop control system are inferred. An experimental technique for analyzing movement performance is developed and a quality index is proposed to evaluate these experiments. The values of this index on the tests performed on Parkinson’s patients are analyzed and discussed.
Funder
ROMANIAN SOCIETY OF ROBOTICS
Subject
Statistics and Probability,Statistical and Nonlinear Physics,Analysis
Reference36 articles.
1. A Review of Quasi-Linear Pilot Models;McRuer;IEEE Trans. Hum. Factors Electron.,1967
2. An Optimal Control of Human Response;Kleinman;Automatica,1970
3. Human models in human-in-the-loop control systems;Mabrok;J. Intell. Fuzzy Syst.,2020
4. Fractional Order Modeling of Human Operator Behavior with Second Order Controlled Plant and Experiment Research;Huang;IEEE/CAA J. Autom. Sin.,2016
5. Martínez-García, M., and Gordon, T. (2016, January 9–12). Human control of systems with fractional order dynamics. Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary.
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